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As an AI Azure Engineer, you will play a crucial role in shaping the technical direction of our AI and machine learning projects, driving innovation, and ensuring the successful implementation of AI solutions within a cloud-based or on-prem environment. You will be part of a talented team of developers, collaborate with cross-functional teams, and contribute to the overall architecture and strategy of our technology landscape.

Be a part of our team where you will:

• Work with data, algorithms, models, and platforms to ensure the models are operating correctly, efficiently, and at scale.
• Collaborate closely with other Data and IT profiles to ensure project outcome usability and product durability.
• Follow IT, PM, and Data Governance best practices and guidelines, meeting design requirements and project timelines.
• Create prototypes to validate proposed ideas, solicit input from stakeholders, run test-driven development and continuous integration processes, and provide support and troubleshooting.
• Design and build AI-based solutions as part of a team.
• Port new machine learning algorithms and models onto data science platforms.
• Develop end-to-end ML pipelines, including data preprocessing, model training, evaluation, and deployment.
• Integrate machine learning solutions with existing business applications and systems.
• Produce high-quality automated work with excellent reliability and scalability.
• Act as a senior technical person to develop processes and metrics to monitor model performance.
• Collaborate in cross-functional teams to prototype new concepts and deliver end-to-end systems.
• Explore novel architectural solutions and communicate ideas clearly.
• Prepare visualizations of data and systems to explain and persuade.
• Communicate results to stakeholders across the business.
• Work closely with the Tax line of service to identify issues and use data to propose solutions for effective decision-making.
• Maintain clear and coherent communication, both verbal and written.

Skills:

• A Bachelor’s degree or several years of experience in computer science, data science, software development, or another related field; a master’s degree is recommended.
• Proven experience (2-3+ years) as a Machine Learning Engineer, with a focus on Azure ML services.
• Solid understanding of common programming languages used in AI, such as Python, Scala, or C#.
• Experience with AI-based solutions and Generative AI technologies.
• Experience with Azure (preferred), AWS, or other Open Source models.
• Experience working with large data sets and writing efficient code capable of processing large data streams at speed.
• Familiarity with DevOps principles including code repository, code management, CI/CD.
• Good understanding of software architecture patterns and application development.
• Strong understanding of data preprocessing, feature engineering, and model evaluation techniques.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders.

• #LI-WA1